"Distribution of COVID-19 Vaccines across the US: A Geographic Information Systems Approach" Inmaculada (Inma) Hernandez, PharmD, PhDAssociate Professor, Division of Clinical Pharmacy Skaggs School of Pharmacy and Pharmaceutical Sciences I earned my PharmD from the University of Navarra (Spain) in 2013 and my PhD in Health Services Research and Policy from the University of Pittsburgh in 2016. I began my faculty career at the University of Pittsburgh and I joined the University of California, San Diego (UCSD) as an Associate Professor with tenure in 2021.

The 8th annual Symposium on Advances in Genomics, Epidemiology and Statistics (SAGES) after two postponements returns Friday, June 17, 2022 in the Arthur H. Rubenstein Auditorium of the Smilow Center for Translational Research of the Perelman School of Medicine at the University of Pennsylvania in Philadelphia, PA.

"The GRADE Approach to Assess the Certainty of the Evidence and Grade the Strength of Recommendations"Alonso Carrasco-Labra, DDS., M.Sc., PhDAssociate ProfessorDepartment of Preventive and Restorative SciencesCenter for Integrative Global Oral HealthUniversity of Pennsylvania, School of Dental Medicine Dr. Alonso Carrasco-Labra, D.D.S., M.Sc., Ph.D., is an associate professor at the Department of Preventive and Restorative Sciences and the Center for Integrative Global Oral Health at the School of Dental Medicine, University of Pennsylvania. He received his D.D.S.

"The GRADE Approach to Assess the Certainty of the Evidence and Grade the Strength of Recommendations"Raul Alonso Carrasco-Labra, DDS., M.Sc., PhDAssociate ProfessorDepartment of Preventive and Restorative SciencesCenter for Integrative Global Oral HealthUniversity of Pennsylvania, School of Dental Medicine Dr. Alonso Carrasco-Labra, D.D.S., M.Sc., Ph.D., is an associate professor at the Department of Preventive and Restorative Sciences and the Center for Integrative Global Oral Health at the School of Dental Medicine, University of Pennsylvania. He received his D.D.S.

Title: A flexible approach for the analysis of repeated attempt designsAbstract: It is not uncommon in follow-up studies to make multiple attempts to collect a measurement after baseline. Recording whether these attempts are successful or not provides useful information for the purposes of assessing the missing at random (MAR) assumption and facilitating missing not at random (MNAR) modeling. This is because measurements from subjects who provide this data after multiple failed attempts may differ from those who provide the measurement after fewer attempts.